also aggregate data for query processing and the size of the aggregate

also aggregate data for query processing and the size of ...

Sep 30, 2011 ... conceivably the CH could also aggregate data for query processing and the size of ... The first is to set a larger size for the aggregated packet that ... The first is to set a larger size for the aggregated packet that ...

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also aggregate data for query processing and the siz

Aggregate data in data mining. also aggregate data for query processing and the siz. aggregate query processing in data warehousing also aggregate data forThis form provides data on a single mode of operation of any aggregate Crushing Plant. Aggregate crushing plants are used to process sand, gravel and rock for. Read more

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SAMPLING BASED JOIN-AGGREGATE QUERY PROCESSING

utilize data size in order of Tera Bytes or Peta Bytes, hence, to achieve substantial query execution efficiency, infeasible computational resources are required [1]. Thus, novel solutions have been proposed in the literature to achieve better query-execution efficiency such as: approximate query processing [1,2], which provide approximate answers to aggregate queries. 1.2. Addressed Open ...

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Processing SPARQL Aggregate Queries with Web

31/05/2020  Approximate query processing is a well-known approach to speedup aggregate query processing ... using the standard page size of 100 triples. Data are stored in HDT format. Virtuoso: We run the Virtuoso SPARQL endpoint (v7.2.4) without quotas in order to deliver complete results and optimal data transfer. We also configured Virtuoso with a single thread to fairly compare with other

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Aggregate (data warehouse) - Wikipedia

Aggregates are used in dimensional models of the data warehouse to produce positive effects on the time it takes to query large sets of data. At the simplest form an aggregate is a simple summary table that can be derived by performing a Group by SQL query. A more common use of aggregates is to take a dimension and change the granularity of this dimension. When changing the granularity of the ...

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SAMPLING BASED JOIN-AGGREGATE QUERY PROCESSING

utilize data size in order of Tera Bytes or Peta Bytes, hence, to achieve substantial query execution efficiency, infeasible computational resources are required [1]. Thus, novel solutions have been proposed in the literature to achieve better query-execution efficiency such as: approximate query processing [1,2], which provide approximate answers to aggregate queries. 1.2. Addressed Open ...

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Processing Complex Aggregate Queries over Data Streams

Two key parameters for query processing over continuous data-streams are (1) the amount of memory made available to the on-line algorithm, and (2) the per-item processing timerequired by the query processor. The former constitutes an important constraint on the design of stream processing algorithms, since in a typical

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Aggregate Function - an overview ScienceDirect Topics

The basic Structured Query Language set, or aggregate, functions compute a variety of measures based on values in a column in multiple rows. The result of using one of these set functions is a computed column that appears only in a result table. The COUNT function is somewhat different from other SQL set functions in that instead of making computations based on data values, it counts the ...

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Use and manage aggregations in Power BI Desktop -

SQL Profiler also provides the Query Processing\Aggregate Table Rewrite Query extended event. The following JSON snippet shows an example of the output of the event when an aggregation is used. matchingResult shows that the subquery used an aggregation. dataRequest shows the GroupBy column(s) and aggregated column(s) the subquery used.

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Using User-Defined Aggregate Functions

You can also define entirely new aggregate functions to use with complex data. User-defined aggregate functions can be used in SQL DML statements just like Oracle's built-in aggregates. Once functions are registered with the server, Oracle simply invokes the user-defined aggregation routines supplied by you instead of the native routines. User-defined aggregates can also be used with scalar ...

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Poster contact name P4211 Towards A Hash Based GroupBy ...

also possible for GPUs to be utilized as fast, high bandwidth co-processors to improve the query processing performance of columnar databases. As part of our research, we are developing a high performance GPU library for costly database operations (e.g. Join, Groupby/Aggregate, Sort). In this poster, we present a new hash based GroupBy/Aggregate algorithm for columnar databases using

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Terms aggregation Elasticsearch Guide [7.12] Elastic

The higher the requested size is, the more accurate the results will be, but also, the more expensive it will be to compute the final results (both due to bigger priority queues that are managed on a shard level and due to bigger data transfers between the nodes and the client).. The shard_size parameter can be used to minimize the extra work that comes with bigger requested size.

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SQLCircuit: SSAS –Design Aggregation and Usage Based ...

23/01/2013  I. Performance is the top priority of all the OLAP system and having aggregated data will helpful to easily retrieve the data. e.g. if we aggregate the yearly data based on days in a year. Cube has to aggregate a large no. of columns. In place of days wise, if we have aggregated data up to months or quarter, we will get yearly aggregated data more quickly.

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Aggregate queries and Batch Apex: just not meant to

01/10/2019  I can then execute an aggregate query for all optys linked to those 200 Campaigns. ... You can also pass data into a batch using a custom iterator - in that case, you create the set of records to be processed via some custom programming, and the batch will not reduce the number to a maximum of 2000 records per execution, but all other governor limits still apply, so you would need to allow for ...

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java - How to do a Mongo aggregation query in Spring

It's the first time I am using Mongo in Java and I am having some problems with this aggregation query. I can do some simple queries in Mongo for Spring with @Query annotation in my Repository interface which extends the MongoRepository.It would be helpful to know which approach to take when you do long aggregations in Spring-Data.

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Processing Complex Aggregate Queries over Data Streams

Two key parameters for query processing over continuous data-streams are (1) the amount of memory made available to the on-line algorithm, and (2) the per-item processing timerequired by the query processor. The former constitutes an important constraint on the design of stream processing algorithms, since in a typical

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Aggregate data faster with approximate query

Aggregate data faster with approximate query processing. Posted at 10:22h in Oracle by Pere V. Share. The purpose of this blog article is to show the reader how to use approximate queries and, more importantly, how to evaluate and decide when to use them. The article includes an introduction to the approximate query processing concept, a definition of the available functions and their usage ...

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Processing Aggregate Queries in a Federation of

31/05/2015  The paper also proposed a cost model, and techniques for estimating constants and result sizes for triple patterns, joins, grouping and aggregation, and the combination of these with the processing strategies into the Cost-based Optimizer for Distributed Aggregate queries (CoDA) approach for aggregate SPARQL queries over endpoint federations. The comprehensive

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Efficient Processing of Ad-Hoc Top-k Aggregate Queries in OLAP

amount of data in a warehouse, efficiently processing top- k aggregate queries is very important and challenging. We address this challenge in the paper. A distinguishing goal of our work is to support ad-hoc ranking aggregation criteria. With respect to G, we aim to support not only standard aggregate functions such as sum, count, avg, min, and max, but also user-defined aggregate functions ...

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Using User-Defined Aggregate Functions

You can also define entirely new aggregate functions to use with complex data. User-defined aggregate functions can be used in SQL DML statements just like Oracle's built-in aggregates. Once functions are registered with the server, Oracle simply invokes the user-defined aggregation routines supplied by you instead of the native routines. User-defined aggregates can also be used with scalar ...

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MySQL Aggregate Function List of Top 10 MySQL

Introduction to MySQL Aggregate Function. Mostly in data query language, we use these aggregated functions with SELECT statements. An aggregate function performs a calculation on multiple values and returns a single value like the sum of all values, maximum and minimum among certain groups of values. Example: If we have to calculate the total sales of a product in a month, then we have to use ...

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spring - Mongo Aggregate Query on large data using

Mongo Aggregate Query on large data using java driver? Ask Question Asked 4 years, 4 months ago. Active 1 month ago. Viewed 618 times 0. I am using spring batch framework for processing large amount of data in mongo db and storing again in mongo db ...

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Terms aggregation Elasticsearch Guide [7.12] Elastic

The higher the requested size is, the more accurate the results will be, but also, the more expensive it will be to compute the final results (both due to bigger priority queues that are managed on a shard level and due to bigger data transfers between the nodes and the client).. The shard_size parameter can be used to minimize the extra work that comes with bigger requested size.

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Poster contact name P4211 Towards A Hash Based GroupBy ...

also possible for GPUs to be utilized as fast, high bandwidth co-processors to improve the query processing performance of columnar databases. As part of our research, we are developing a high performance GPU library for costly database operations (e.g. Join, Groupby/Aggregate, Sort). In this poster, we present a new hash based GroupBy/Aggregate algorithm for columnar databases using

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Aggregate queries and Batch Apex: just not meant to

01/10/2019  I can then execute an aggregate query for all optys linked to those 200 Campaigns. ... You can also pass data into a batch using a custom iterator - in that case, you create the set of records to be processed via some custom programming, and the batch will not reduce the number to a maximum of 2000 records per execution, but all other governor limits still apply, so you would need to allow for ...

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